基于图像累加的SLR目标识别技术的研究  

STUDY OF RECOGNITION TECHNIQUES OF SLR TARGET BASED ON IMAGE ACCUMULATION

作　　者：王雅杰[1,2] 郭唐永[1,2] 邹彤[1,2] 王培源[1,2] 李世鹏[1,2] 林强[1,2] 朱程广[1,2] 刘延飞[1,2] 

机构地区：[1]中国地震局地震研究所(地震大地测量重点实验室),武汉430071 [2]中国地震局地壳应力研究所武汉科技创新基地,武汉430071

出　　处：《大地测量与地球动力学》2013年第A02期71-73,77,共4页Journal of Geodesy and Geodynamics

摘　　要：针对卫星激光测距(SLR)观测系统中目标卫星识别困难的问题,提出一套利用图像累加、线性运算等方法对样本图像进行降噪处理的方案,并用MATALB语言编程实现图像降噪的算法,最终得到被识别出的目标在微光电视CCD中的质心坐标值。结果表明:这套方案能有效识别SLR系统获取图像中的目标卫星。Aiming at the problem on target satellite recognition in satellite laser ranging （SLR） observing sys- tem. A scheme which could reduce image noise is provided by image limited accumulation and linear operation. The scheme of reducing image noise is realized with MATLAB language programming. Finally, the barycentric co- ordinate of the target which is recognized in LLL（ Low Light Level） TV CCD can be obtained. The result shows that this scheme is effective to recognize the target satellite in the image obtained from SLR observing system.

关 键 词：SLR 图像累加 降噪 MATLAB 像增强器CCD 

分 类 号：P228.5[天文地球—大地测量学与测量工程]